Time delay between cardiac and brain activity during sleep transitions

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Abstract

Human sleep consists of wake, rapid-eye-movement (REM) sleep, and non-REM (NREM) sleep that includes light and deep sleep stages. This work investigated the time delay between changes of cardiac and brain activity for sleep transitions. Here, the brain activity was quantified by electroencephalographic (EEG) mean frequency and the cardiac parameters included heart rate, standard deviation of heartbeat intervals, and their low- and high-frequency spectral powers. Using a cross-correlation analysis, we found that the cardiac variations during wake-sleep and NREM sleep transitions preceded the EEG changes by 1–3¿min but this was not the case for REM sleep transitions. These important findings can be further used to predict the onset and ending of some sleep stages in an early manner.
Original languageEnglish
Article number143702
Pages (from-to)143702-1/4
Number of pages4
JournalApplied Physics Letters
Volume106
Issue number14
DOIs
Publication statusPublished - 2015

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sleep
brain
time lag
eye movements
wakes
heart rate
cross correlation
standard deviation
low frequencies
intervals

Cite this

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title = "Time delay between cardiac and brain activity during sleep transitions",
abstract = "Human sleep consists of wake, rapid-eye-movement (REM) sleep, and non-REM (NREM) sleep that includes light and deep sleep stages. This work investigated the time delay between changes of cardiac and brain activity for sleep transitions. Here, the brain activity was quantified by electroencephalographic (EEG) mean frequency and the cardiac parameters included heart rate, standard deviation of heartbeat intervals, and their low- and high-frequency spectral powers. Using a cross-correlation analysis, we found that the cardiac variations during wake-sleep and NREM sleep transitions preceded the EEG changes by 1–3¿min but this was not the case for REM sleep transitions. These important findings can be further used to predict the onset and ending of some sleep stages in an early manner.",
author = "X. Long and J.B.A.M. Arends and R.M. Aarts and R. Haakma and P. Fonseca and J. Rolink",
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Time delay between cardiac and brain activity during sleep transitions. / Long, X.; Arends, J.B.A.M.; Aarts, R.M.; Haakma, R.; Fonseca, P.; Rolink, J.

In: Applied Physics Letters, Vol. 106, No. 14, 143702, 2015, p. 143702-1/4.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Time delay between cardiac and brain activity during sleep transitions

AU - Long, X.

AU - Arends, J.B.A.M.

AU - Aarts, R.M.

AU - Haakma, R.

AU - Fonseca, P.

AU - Rolink, J.

PY - 2015

Y1 - 2015

N2 - Human sleep consists of wake, rapid-eye-movement (REM) sleep, and non-REM (NREM) sleep that includes light and deep sleep stages. This work investigated the time delay between changes of cardiac and brain activity for sleep transitions. Here, the brain activity was quantified by electroencephalographic (EEG) mean frequency and the cardiac parameters included heart rate, standard deviation of heartbeat intervals, and their low- and high-frequency spectral powers. Using a cross-correlation analysis, we found that the cardiac variations during wake-sleep and NREM sleep transitions preceded the EEG changes by 1–3¿min but this was not the case for REM sleep transitions. These important findings can be further used to predict the onset and ending of some sleep stages in an early manner.

AB - Human sleep consists of wake, rapid-eye-movement (REM) sleep, and non-REM (NREM) sleep that includes light and deep sleep stages. This work investigated the time delay between changes of cardiac and brain activity for sleep transitions. Here, the brain activity was quantified by electroencephalographic (EEG) mean frequency and the cardiac parameters included heart rate, standard deviation of heartbeat intervals, and their low- and high-frequency spectral powers. Using a cross-correlation analysis, we found that the cardiac variations during wake-sleep and NREM sleep transitions preceded the EEG changes by 1–3¿min but this was not the case for REM sleep transitions. These important findings can be further used to predict the onset and ending of some sleep stages in an early manner.

U2 - 10.1063/1.4917221

DO - 10.1063/1.4917221

M3 - Article

VL - 106

SP - 143702-1/4

JO - Applied Physics Letters

JF - Applied Physics Letters

SN - 0003-6951

IS - 14

M1 - 143702

ER -